Generated
Validation
Total
13/16Score
Passed| Criteria | Score |
|---|---|
description_trigger_hint | Description may be missing an explicit 'when to use' trigger hint (e.g., 'Use when...') |
metadata_version | 'metadata' field is not a dictionary |
body_steps | No step-by-step structure detected (no ordered list); consider adding a simple workflow |
Implementation
Suggestions 3
Score
73%Overall Assessment
This skill demonstrates good structure and token efficiency with a clean overview pointing to detailed references. The main weaknesses are incomplete actionability (examples lack full context) and missing validation/error handling guidance for an AI-powered operation that can produce variable results.
Suggestions
- Add error handling to code examples showing what to do when generateUI fails or returns unexpected output
- Include a brief validation step or quality check pattern for generated UI components
- Expand the Quick Start example to show complete imports and a minimal working setup
| Dimension | Score | Reasoning |
|---|---|---|
Conciseness | 3/3 | Content is lean and efficient - no unnecessary explanations of what generative UI is or how LLMs work. Every section serves a purpose with minimal padding. |
Actionability | 2/3 | Provides executable code examples but they're incomplete - missing imports context, no error handling shown, and the schema/theme options aren't fully documented inline. The examples are illustrative but not fully copy-paste ready for production use. |
Workflow Clarity | 2/3 | For a simple skill showing basic usage, the quick start is clear. However, there's no guidance on validation, error handling, or what to do when generation fails - important for AI-powered operations that can produce unexpected results. |
Progressive Disclosure | 3/3 | Excellent structure with a concise overview and well-organized one-level-deep references. Clear categorization of Core Documentation, Additional References, and Templates with descriptive labels for each file. |
Activation
Suggestions 3
Score
33%Overall Assessment
The description identifies the core capability (creating React components via natural language using Thesys) but is too brief and lacks explicit usage triggers. It would benefit from listing more specific actions and adding a clear 'Use when...' clause to help Claude distinguish this skill from general React development or other UI generation tools.
Suggestions
- Add a 'Use when...' clause with trigger terms like 'generate UI', 'Thesys', 'natural language to React', 'AI-generated components'
- Expand specific actions beyond 'create' - include capabilities like 'preview', 'iterate', 'customize styling', or specific component types supported
- Include file extensions or project indicators that would signal this skill should be used (e.g., 'Thesys projects', specific config files)
| Dimension | Score | Reasoning |
|---|---|---|
Specificity | 2/3 | Names the domain (generative UI, React components) and one action (create), but lacks comprehensive actions like 'edit', 'preview', 'iterate on components', or specific component types. |
Completeness | 1/3 | Describes what it does but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. |
Trigger Term Quality | 2/3 | Includes some relevant terms ('React components', 'natural language', 'generative UI') but misses common variations users might say like 'UI generation', 'component builder', 'design to code', or 'Thesys' use cases. |
Distinctiveness Conflict Risk | 2/3 | Mentions specific tool 'Thesys' which helps distinguish it, but 'React components' and 'natural language' could overlap with general React coding skills or other AI code generation tools. |
- Repository
- github.com/secondsky/claude-skills
- Last updated
- Created
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